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EXK-SC: A Semantic Communication Model Based on Information Framework Expansion and Knowledge Collision.

Gangtao Xin1,2, Pingyi Fan1,2

  • 1Department of Electronic Engineering, Tsinghua University, Beijing 100084, China.

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This study introduces a new semantic information framework for communication systems. It quantifies semantic transmission and explores semantic expansion and knowledge collision for a new communication paradigm.

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Area of Science:

  • Information Theory
  • Communication Systems
  • Artificial Intelligence

Background:

  • Current semantic communication focuses on meaning, not just symbol accuracy.
  • Measuring semantic messages and generating codebooks remain challenges.
  • Human language evolution involves integrating simple elements into complex systems.

Purpose of the Study:

  • To propose a novel semantic information framework.
  • To quantify semantic transmission using symbol sequences.
  • To investigate semantic expansion and knowledge collision.

Main Methods:

  • Applying the concept of 'expansion' from language evolution to semantic communication.
  • Quantifying semantic transmission analogous to Shannon's digital communication methods.
  • Developing a theoretical framework for semantic information.

Main Results:

  • Introduced semantic expansion and knowledge collision within a semantic information framework.
  • Presented theoretical results on the relationship between semantic expansion and transmission information rate.
  • Established a foundation for measuring semantic information.

Conclusions:

  • The proposed semantic information framework offers a new paradigm for semantic communications.
  • Semantic expansion and knowledge collision are identified as foundational concepts for semantic information theory.
  • This work paves the way for more intelligent and meaning-focused communication systems.